Dan Vitale

1.6k citations
12 papers · 178 · h-index 7

Impact in

    • Parkinson's Disease Mechanisms and Treatments
    • Neurological diseases and metabolism
    • Amyotrophic Lateral Sclerosis Research
    • Alzheimer's disease research and treatments
    • Lysosomal Storage Disorders Research

Papers in

    • Bioinformatics and Genomic Networks 3
    • Microbial Metabolic Engineering and Bioproduction 2
    • Parkinson's Disease Mechanisms and Treatments 5
    • Amyotrophic Lateral Sclerosis Research 3
    • Neurological diseases and metabolism 2

Dan Vitale

11 papers receiving 178 citations

Peers

Dan Vitale
Comparison fields: 5 of 46
  • Neurology 71
  • Neurology 30
  • Physiology 50
  • Genetics 41
  • Cell Biology 21
Replace Mary B. Makarious with:
Mary B. Makarious United States
Natalie Wen United States
Jonggeol Jeffrey Kim United States
Tatiana Orme United Kingdom
Ian Coldicott United Kingdom
Guping Tang China
Patricia H. Brown United States
Linn Öijerstedt Sweden
Noah Spiegel United States
Hortense de Calbiac France
Dan Vitale relative to Mary B. Makarious United States Mary B. Makarious's profile →
Citations per field
00.5×1.5×1.8×
Mary B. Makarious · 1×
Citations per year

Countries citing papers authored by Dan Vitale

Since Specialization
Citations

This map shows the geographic impact of Dan Vitale's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dan Vitale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Vitale more than expected).

Fields of papers citing papers by Dan Vitale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan Vitale. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dan Vitale. The network helps show where Dan Vitale may publish in the future.

Co-authors

The 25 scholars most cited alongside Dan Vitale, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dan Vitale Line = papers co-authored together Dan Vitale links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201950
2 202330
3 202127
4 201926
5 202315
6 202311
7 202411
8 20244
9 20242
10 20241
11 20231
12 20250

About Dan Vitale

Dan Vitale is a scholar working on Molecular Biology, Neurology, Computational Theory and Mathematics, Neurology and Cell Biology, having authored 12 papers that have together received 178 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (5 papers), Computational Drug Discovery Methods (3 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Bioinformatics and Genomic Networks (3 papers), Neurological diseases and metabolism (2 papers), Lysosomal Storage Disorders Research (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Neurology (71 citations), Neurology (30 citations), Physiology (50 citations), Genetics (41 citations) and Cell Biology (21 citations). Dan Vitale has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Mike A. Nalls, Andrew Singleton, Cornelis Blauwendraat, Sara Bandrés‐Ciga, Mark Cookson, Burkhard Rost, Yana Bromberg, Peter C. Kahn, Faraz Faghri and Hampton L. Leonard. Their work appears in journals such as The American Journal of Human Genetics, Movement Disorders, Alzheimer s & Dementia, Brain Communications and Molecular Psychiatry.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact